Hessian automatic differentiation
id:
hessian-automatic-differentiation-260-8100888
title:
Hessian automatic differentiation
text:
In applied mathematics, Hessian automatic differentiation are techniques based on automatic differentiation (AD)
that calculate the second derivative of an n -dimensional function, known as the Hessian matrix. When examining a function in a neighborhood of a point, one can discard many complicated global aspects of the function and accurately approximate it with simpler functions. The quadratic approximation is the best-fitting quadratic in the neighborhood of a point, and is frequently used in
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wiki
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encyclopedia
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original url:
https://en.wikipedia.org/wiki/Hessian_automatic_differentiation
date created:
date modified:
2023-11-04T15:57:46Z
main entity:
{"identifier":"Q17023333","url":"https://www.wikidata.org/entity/Q17023333"}
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